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Title: 大腦核磁共振影像之二維對位比較
Two-dimensional image registration on MRSI metabolite concentration maps
Authors: 吳柏賢
Wu, Po-Shien
Contributors: 蔡尚岳
Tsai, Shang-Yueh
Wu, Po-Shien
Keywords: 二維對位
Two-dimensional registration
Three-dimensional registration
Mutual information
Normalized mutual information
Date: 2021
Issue Date: 2021-07-01 20:01:42 (UTC+8)
Abstract: 本論文旨在使用二維對位的方法下,以不同頭型切片作為模板,比較二維對位方法與三維對位方法之間的效果差異。再以切片厚度作為控制變因,使用不同厚度的切片進行對位,以判斷切片厚度對於對位的影響。對位完成後,將影像資料元素代入標準化相互資訊的公式,量化兩影像之間相似的程度,其後建立數值矩陣,計算各矩陣內元素的平均與標準差,比較各組數值之間差異,判斷使用二維對位方法時,其效果與三維對位的差距。
In this paper, using the two-dimensional registration method to compare the effect differences between the two-dimensional registration method and the three-dimensional registration method via using different head slices.Thesection thicknessis used as the control variable, and different slice thicknessare used for registration to determine the effect of section thickness on registration.After the registrationcompleted, Substitute theelements of image datainto the Normalized mutual information formulato quantify the degree of similarity between the two images.Then establish the numerical matrix, calculating the average and standard deviation of the elements in each matrix, comparing the difference between the values of each group, and judging the difference between using three-dimensional registration methodand two-dimensional registration method.
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[6] La The Vinh, Sungyoung Lee, Young-Tack Park, and Brian J. d’Auriol, “A novel feature selection method based on normalized mutual information,” Applied Intelligence, Vol. 37, pp.100-120(2012).
Description: 碩士
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Data Type: thesis
Appears in Collections:[應用物理研究所 ] 學位論文

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